Description Usage Arguments Value Examples
This function takes measured ODs and turn them into a ODcurveToMetCurve object
to be visualize using visMetabolicGeneCurves()
. It relies on flux
variability analysis to highlight the flux value interval required to meet the
specified OD and to map it on the metabolic genes.
1 2 3 4 | ODCurveToMetabolicGeneCurves(times, ODs, metabolites_rates = NULL, model,
softplusParam = 0, singlePointFluxEstimate = FALSE,
biomass_flux_index = get_biomass_flux_position(model),
aliases = NULL)
|
times |
A vector of timepoints at which the flux balance analysis solution will be evaluated. |
ODs |
vector of measured ODs. |
metabolites_rates |
A data.frame containing the extraneous metabolites, their initial concentrations and their uptake rates. Columns must be named "names","concentrations" and "rates". |
model |
An object of class modelOrg, the metabolic model. |
softplusParam |
Softplus parameter identify through calibration. |
singlePointFluxEstimate |
Optional, logical. |
biomass_flux_index |
index of the flux corresponding to the biomass reaction. |
aliases |
Optional. A data.frame containing the gene names used in the metabolic model and the aliases to use to match the regulatory network. |
Metabolic genes curves to visualize using the function
visMetabolicGeneCurves
1 2 3 4 5 | ODs<-c(0.4500000,0.5322392,0.6295079,0.7445529)
data("aliases_SC","iMM904")
ODcurveToMetCurve<-ODCurveToMetabolicGeneCurves(times = seq(0.5,2,by=0.5),
ODs = ODs,model = iMM904,aliases = aliases_SC)
visMetabolicGeneCurves(ODcurveToMetCurve,genes="YJR077C")
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.